An Improved Wideband Covariance Matrix Sparse Representation (W-CMSR) Method for Wideband Direction of Arrival Estimation Using Simulated Annealing | Zendy

Sandeep Santosh | Zendy; Omprakash Sahu | Zendy

Open Access

An Improved Wideband Covariance Matrix Sparse Representation (W-CMSR) Method for Wideband Direction of Arrival Estimation Using Simulated Annealing

Author(s) -

Sandeep Santosh,

Omprakash Sahu

Publication year - 2016

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2016.07.362

Subject(s) - wideband , simulated annealing , computer science , covariance matrix , direction of arrival , aperture (computer memory) , covariance , algorithm , representation (politics) , acoustics , telecommunications , optics , mathematics , statistics , physics , politics , antenna (radio) , law , political science

In this paper, we optimize the size of aperture and number of sensors for Wideband Covariance Matrix Sparse representation (W-CMSR) method for Wideband Direction of Arrival estimation using Simulated Annealing. The performance of W-CMSR is obtained with initial number of sensors and aperture size. Then, we find the performance of W-CMSR with optimized number of sensors and aperture size using simulated annealing. We observe that same performance of W-CMSR is obtained with reduced number of sensors and aperture size by using simulated annealing

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